DOI: 10.1016/j.atmosres.2018.04.014
Scopus记录号: 2-s2.0-85046660248
论文题名: Simulation of an extreme heavy rainfall event over Chennai, India using WRF: Sensitivity to grid resolution and boundary layer physics
作者: Srinivas C.V. ; Yesubabu V. ; Hari Prasad D. ; Hari Prasad K.B.R.R. ; Greeshma M.M. ; Baskaran R. ; Venkatraman B.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 210 起始页码: 66
结束页码: 82
语种: 英语
英文关键词: Grid resolution
; Heavy precipitation
; Low-pressure trough
; PBL physics
; WRF
Scopus关键词: Boundary layers
; Doppler radar
; Meteorological radar
; Moisture
; Potential energy
; Weather forecasting
; Convective available potential energies
; Grid resolution
; Heavy precipitation
; Low pressures
; Parameterization schemes
; Planetary boundary layers
; Southeast coast of India
; Weather Research and Forecast models
; Rain
; boundary layer
; computer simulation
; extreme event
; numerical model
; precipitation intensity
; rainfall
; sensitivity analysis
; weather forecasting
; wind shear
; Chennai
; India
; Tamil Nadu
英文摘要: In this study, the heavy precipitation event on 01 December 2015 over Chennai located on the southeast coast of India was simulated using the Weather Research and Forecast (WRF) model. A series of simulations were conducted using explicit convection and varying the planetary boundary layer (PBL) parameterization schemes. The model results were compared with available surface, satellite and Doppler Weather Radar observations. Simulations indicate strong, sustained moist convection associated with development of a mesoscale upper air cyclonic circulation, during the passage of a synoptic scale low-pressure trough caused heavy rainfall over Chennai and its surroundings. Results suggest that veering of wind with height associated with strong wind shear in the layer 800–400 hPa together with dry air advection facilitated development of instability and initiation of convection. The 1-km domain using explicit convection improved the prediction of rainfall intensity of about 450 mm and its distribution. The PBL physics strongly influenced the rainfall prediction by changing the location of upper air circulation, energy transport, moisture convergence and intensity of convection in the schemes YSU, MYJ and MYNN. All the simulations underestimated the first spell of the heavy rainfall. While YSU and MYJ schemes grossly underestimated the rainfall and dislocated the area of maximum rainfall, the higher order MYNN scheme simulated the rainfall pattern in better agreement with observations. The MYNN showed lesser mixing and simulated more humid boundary layer, higher convective available potential energy (CAPE) and stronger winds at mid-troposphere than did the other schemes. The MYNN also realistically simulated the location of upper air cyclonic flow and various dynamic and thermodynamic features. Consequently it simulated stronger moisture convergence and higher precipitation. © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108849
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Radiological Safety Division, HSEG, Indira Gandhi Centre for Atomic Research, Hombi Bhabha National Institute, Kalpakkam, 603102, India; National Atmospheric Research Laboratory (NARL), Department of Space (DoS), Govt. of India, Chittoor District, Gadanki, Andhra Pradesh 517 112, India; Physical Sciences and Engineering Division, King Abudullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
Recommended Citation:
Srinivas C.V.,Yesubabu V.,Hari Prasad D.,et al. Simulation of an extreme heavy rainfall event over Chennai, India using WRF: Sensitivity to grid resolution and boundary layer physics[J]. Atmospheric Research,2018-01-01,210